نتایج جستجو برای: salt and pepper noise

تعداد نتایج: 16868475  

2004
Amr R. Abdel-Dayem Ali K. Hamou Mahmoud R. El-Sakka

3D Meshes Registration: Application to Statistical Skull Model p. 100 Detection of Rib Borders on X-ray Chest Radiographs p. 108 Isosurface-Based Level Set Framework for MRA Segmentation p. 116 Segmentation of the Comet Assay Images p. 124 Automatic Extraction of the Retina AV Index p. 132 Image Registration in Electron Microscopy. A Stochastic Optimization Approach p. 141 Evolutionary Active C...

Journal: :EURASIP J. Adv. Sig. Proc. 2011
H. Y. Y. Leung Lee-Ming Cheng

A robust blind watermarking scheme using wave atoms is proposed. The watermark is embedded in the wave atom transform domain by modifying one of the scale bands. The detection and extraction procedures do not need the original host image. We tested the proposed algorithm against common image processing attacks like JPEG compression, Gaussian noise addition, median filtering, and salt and pepper...

1999
Yong Zhu Tieniu Tan Yunhong Wang

In this paper, we describe a novel texture analysis based approach towards font recognition. Existing methods are typically based on local typographical features that often require connected components analysis. In our method, we take the document as an image containing some specific textures, and regard font recognition as texture identification. The method is content-independent and involves ...

Journal: :CoRR 2009
G. Padmavathi P. Subashini M. Muthu Kumar Suresh Kumar Thakur

Image filtering algorithms are applied on images to remove the different types of noise that are either present in the image during capturing or injected in to the image during transmission. Underwater images when captured usually have Gaussian noise, speckle noise and salt and pepper noise. In this work, five different image filtering algorithms are compared for the three different noise types...

Journal: :Journal of the Korea Institute of Information and Communication Engineering 2016

2017
Suraj Rana

Every digital image has a two-dimensional mathematical representation of the digital image. Digital image is made out of pixels i.e. picture component. Every pixel speaks to the dark level for highly contrasting photographs at a solitary point in the image, so a pixel can be spoken to by a small speck of particular shading. Image restoration is the process of restoring degraded images which can...

2016
Dr. P. Sumitra

This paper presents the performance analysis of different basic techniques used for the image restoration. Restoration is a process by removing blur and noise from image and get back the original form. Medical images play a vital role in dealing with the detection of various diseases in patients and they face the problem of salt and pepper noise and Gausian noise. Hence restoration is performed...

2017
Zayed M. Ramadan

Several measuring indices have been used in the literature of image restoration to examine the performance of the proposed schemes. In this paper, entropy and two-dimensional correlation coefficient have been studied and used as performance measuring indices for image quality. An adaptive two-stage algorithm for restoration of images corrupted by impulse noise proposed in one of our previous wo...

Journal: :EURASIP J. Adv. Sig. Proc. 2010
V. Jayaraj David Ebenezer

A new switching-based median filtering scheme for restoration of images that are highly corrupted by salt and pepper noise is proposed. An algorithm based on the scheme is developed. The new scheme introduces the concept of substitution of noisy pixels by linear prediction prior to estimation. A novel simplified linear predictor is developed for this purpose. The objective of the scheme and alg...

Journal: :journal of advances in computer research 0

in this paper a wavelet-based logo watermarking scheme is presented. the logo watermark is embedded into all sub-blocks of the lln sub-band of the transformed host image, using quantization technique. extracted logos from all sub-blocks are merged to make the extracted watermark from distorted watermarked image. knowing the quantization step-size, dimensions of logo and the level of wavelet tra...

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function paginate(evt) { url=/search_year_filter/ var term=document.getElementById("search_meta_data").dataset.term pg=parseInt(evt.target.text) var data={ "year":filter_year, "term":term, "pgn":pg } filtered_res=post_and_fetch(data,url) window.scrollTo(0,0); } function update_search_meta(search_meta) { meta_place=document.getElementById("search_meta_data") term=search_meta.term active_pgn=search_meta.pgn num_res=search_meta.num_res num_pages=search_meta.num_pages year=search_meta.year meta_place.dataset.term=term meta_place.dataset.page=active_pgn meta_place.dataset.num_res=num_res meta_place.dataset.num_pages=num_pages meta_place.dataset.year=year document.getElementById("num_result_place").innerHTML=num_res if (year !== "unfilter"){ document.getElementById("year_filter_label").style="display:inline;" document.getElementById("year_filter_place").innerHTML=year }else { document.getElementById("year_filter_label").style="display:none;" document.getElementById("year_filter_place").innerHTML="" } } function update_pagination() { search_meta_place=document.getElementById('search_meta_data') num_pages=search_meta_place.dataset.num_pages; active_pgn=parseInt(search_meta_place.dataset.page); document.getElementById("pgn-ul").innerHTML=""; pgn_html=""; for (i = 1; i <= num_pages; i++){ if (i===active_pgn){ actv="active" }else {actv=""} pgn_li="
  • " +i+ "
  • "; pgn_html+=pgn_li; } document.getElementById("pgn-ul").innerHTML=pgn_html var pgn_links = document.querySelectorAll('.mypgn'); pgn_links.forEach(function(pgn_link) { pgn_link.addEventListener('click', paginate) }) } function post_and_fetch(data,url) { showLoading() xhr = new XMLHttpRequest(); xhr.open('POST', url, true); xhr.setRequestHeader('Content-Type', 'application/json; charset=UTF-8'); xhr.onreadystatechange = function() { if (xhr.readyState === 4 && xhr.status === 200) { var resp = xhr.responseText; resp_json=JSON.parse(resp) resp_place = document.getElementById("search_result_div") resp_place.innerHTML = resp_json['results'] search_meta = resp_json['meta'] update_search_meta(search_meta) update_pagination() hideLoading() } }; xhr.send(JSON.stringify(data)); } function unfilter() { url=/search_year_filter/ var term=document.getElementById("search_meta_data").dataset.term var data={ "year":"unfilter", "term":term, "pgn":1 } filtered_res=post_and_fetch(data,url) } function deactivate_all_bars(){ var yrchart = document.querySelectorAll('.ct-bar'); yrchart.forEach(function(bar) { bar.dataset.active = false bar.style = "stroke:#71a3c5;" }) } year_chart.on("created", function() { var yrchart = document.querySelectorAll('.ct-bar'); yrchart.forEach(function(check) { check.addEventListener('click', checkIndex); }) }); function checkIndex(event) { var yrchart = document.querySelectorAll('.ct-bar'); var year_bar = event.target if (year_bar.dataset.active == "true") { unfilter_res = unfilter() year_bar.dataset.active = false year_bar.style = "stroke:#1d2b3699;" } else { deactivate_all_bars() year_bar.dataset.active = true year_bar.style = "stroke:#e56f6f;" filter_year = chart_data['labels'][Array.from(yrchart).indexOf(year_bar)] url=/search_year_filter/ var term=document.getElementById("search_meta_data").dataset.term var data={ "year":filter_year, "term":term, "pgn":1 } filtered_res=post_and_fetch(data,url) } } function showLoading() { document.getElementById("loading").style.display = "block"; setTimeout(hideLoading, 10000); // 10 seconds } function hideLoading() { document.getElementById("loading").style.display = "none"; } -->